com.datumbox.framework.core.machinelearning.featureselection

Class PCA

java.lang.Object

com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer<MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.featureselectors.AbstractFeatureSelector<PCA.ModelParameters,PCA.TrainingParameters>

com.datumbox.framework.core.machinelearning.featureselection.PCA

All Implemented Interfaces:

Savable, Parallelizable, Trainable<PCA.ModelParameters,PCA.TrainingParameters>, java.lang.AutoCloseable

public class PCA
extends AbstractFeatureSelector<PCA.ModelParameters,PCA.TrainingParameters>

Implementation of Principal Component Analysis. The method can be used to project the Dataframe to the orthogonal space and to eliminate components with low variance. References: Intelligent Data Analysis and Probabilistic Inference Slide 15 Advanced statistical machine learning and pattern recognition slides 2, tutorial 3, cw 1 matlab code

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	PCA.ModelParameters Base class for every ModelParameter class in the framework.
static class	PCA.TrainingParameters The AbstractTrainingParameters class stores the parameters that can be changed before training the algorithm.

Nested classes/interfaces inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer

AbstractTrainer.AbstractModelParameters, AbstractTrainer.AbstractTrainingParameters

Method Summary

Modifier and Type	Method and Description
void	fit(Dataframe trainingData) Trains a model using the provided training parameters and data.

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.featureselectors.AbstractFeatureSelector

fit_transform, isParallelized, setParallelized, transform

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer

close, delete, getModelParameters, getTrainingParameters, save

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

fit

public void fit(Dataframe trainingData)

Trains a model using the provided training parameters and data.

Specified by:

fit in interface Trainable<PCA.ModelParameters,PCA.TrainingParameters>

Overrides:

fit in class AbstractFeatureSelector<PCA.ModelParameters,PCA.TrainingParameters>